Xiaomi 24076RP19G
Geekbench AI Score
305
Single Precision Score
305
Half Precision Score
633
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 02:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24076RP19G |
| Model ID | Xiaomi 24076RP19G |
| Motherboard | spark |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
100% |
469
87.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
576
9.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
695
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
1157
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
400
32.3 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (Q)
|
95% |
1071
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
494
3.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
1241
11.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1421
1.84 IPS |
|
|
Style Transfer (HP)
|
89% |
1440
1.87 IPS |
|
|
Style Transfer (Q)
|
98% |
2907
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
249
9.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
248
9.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
726
26.9 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.7 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.9 IPS |
|
|
Text Classification (Q)
|
88% |
217
292.3 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (Q)
|
50% |
136
4.81 IPS |
